Summary This study monitors the great Himalayas between the year 1998–2008 using satellite data. The Landsat satellite data was used to monitor variations in the area of glacier. Further the snow-covered area (SCA) of the part of Alaknanda basin was computed both for the winter and the summer season. The analysis for the same was done between 1998 and 2008. It was observed that the amount of decrease in the SCA was more in winter season compared to summer season, which also shows the rate of retreat of glacier. This study also classifies the snow into two categories (1) dry snow and (2) wet snow. The pattern in the change in area of these two categories was analysed both for the winter and summer seasonRead More

Summary Main aim of this paper is to compare the classification accuracies of glacier change detection by following classifiers: sub-pixel classification algorithm, indices based supervised classification and object based algorithm using Landsat imageries. It was observed that shadow effect was not removed in sub-pixel based classification which was removed by the indices method. Further the accuracy was improved by object based classification. Objective of the paper is to analyse different classification algorithms and interpret which one gives the best results in mountainous regions. The study showed that object based method was best in mountainous regions as optimum results were obtained in the shadowed covered regionsRead More